At SCAI Engineering, we develop cutting-edge Proof-of-Concept (PoC) products to accelerate innovation in embedded systems. Our products bridge the gap between technology concepts and real-world applications, combining our engineering expertise with a deep understanding of safety-critical and high-performance systems.
A modular ECU designed to enable seamless data exchange between vehicles and smart infrastructure, empowering connected and autonomous mobility solutions.
Key Features:
Real-time Vehicle-to-Infrastructure (V2I) communication.
Scalable design to integrate external V2X transceivers (DSRC, C-V2X).
Modular for CAN, Ethernet, Wi-Fi, 4G/LTE/5G networks.
Automotive-grade, ruggedized PoC hardware.
Tech Stack / Platforms:
PoC developed using NXP MCX-W71X & Arduino Zero
Runs on FreeRTOS, bare-metal, or custom firmware depending on project requirements.
Modular hardware supporting CAN, Ethernet, Wi-Fi and 4G/LTE/5G interfaces.
Designed to integrate with external V2X communication modules (e.g., DSRC, C-V2X) for expanded functionality
Use Cases:
Smart cities: Facilitate communication with connected infrastructure (e.g., smart traffic lights, roadside units).
Autonomous vehicles: Enhance V2I situational awareness for safer navigation and path planning.
Fleet management systems: Improve operational efficiency by linking vehicles with centralized infrastructure or cloud services..
eMos is a modular perception system that enhances situational awareness by fusing multiple sensor modalities. Designed for complex environments, eMos enables real-time detection of obstacles, pedestrians, lane markings, terrain features, and operational hazards in both automotive and non-automotive domains such as defence, robotics, and industrial automation.
Key Features:
Comprehensive multi-sensor fusion system integrating vision, radar, and proximity sensors.
Real-time object, lane, and environmental feature recognition.
Advanced perception and assessment algorithms for trajectory prediction and threat assessment.
Visual and radar-based SLAM (Simultaneous Localization and Mapping) for dynamic mapping and localization.
Scalable and platform-agnostic architecture suitable for a wide range of applications, including autonomous vehicles, unmanned ground systems, and industrial machinery.
System Architecture:
Sensor Layer – Configurable multi-sensor setup sourced from trusted third-party providers.
Perception Layer – In-house developed object recognition and situational awareness algorithms.
Assessment Layer – Real-time data fusion and risk evaluation frameworks.
SLAM Layer – Adaptive mapping and localization techniques based on vision and radar inputs.
ECU simulation – Full stack simulated on an ECU model for seamless transition to embedded hardware.
Use Cases:
Advanced Driver Assistance Systems (ADAS): Strengthen safety and awareness in complex driving environments.
Defense & Security: Provide perception and navigation for autonomous or remotely operated defense platforms.
Autonomous Robotics: Enable smart decision-making and environmental awareness for ground robots.
Industrial Automation: Enhance machine perception and operational safety in automated logistics, mining, and manufacturing systems.
Current Stage: We are developing and validating sensor simulations, fusion logic, and perception algorithms, with SLAM and ECU modelling in the next phase.
We design and develop tailored Electronic Control Units (ECUs) to meet the unique demands of automotive, defense, and industrial applications. Whether you require a single-purpose module or a scalable platform functioning as a domain controller, our solutions are optimized for performance, safety, and integration.
Key Features:
Fully customized ECU architectures based on project requirements.
Scalable solutions from basic microcontroller-based designs to high-performance SoCs.
Designed for harsh environments (automotive-grade, industrial, or defense-spec).
Supports integration with CAN, Ethernet, LIN, and other communication protocols.
Configurable I/O and processing capabilities, including AI/ML acceleration if required.
Development Approach:
Evaluation of project needs and system architecture.
Hardware selection (shortlisting SoCs and microcontrollers).
Firmware and middleware development tailored to your application.
ECU simulation and testing using model-based design tools (e.g., Simulink).
Seamless integration into existing or new system architectures.
Use Cases:
Automotive: Powertrain control, gateway ECUs, sensor fusion units, and domain controllers.
Defense: Embedded platforms for autonomous vehicles, surveillance systems, or secure communication modules.
Industrial: Custom controllers for robotics, heavy machinery, and automation systems.
Current Stage: We are finalizing the selection of suitable SoCs for versatile and high-performance ECU designs.